Biological Computation

Author : Ehud Lamm,Ron Unger
Publisher : CRC Press
Page : 346 pages
File Size : 44,6 Mb
Release : 2011-05-25
Category : Science
ISBN : 9781420087956

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Biological Computation by Ehud Lamm,Ron Unger Pdf

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques. Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website.

Author : Ehud Lamm,Ron Unger
Publisher : CRC Press
Page : 332 pages
File Size : 44,9 Mb
Release : 2011-05-25
Category : Mathematics
ISBN : 9781420087963

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Biological Computation by Ehud Lamm,Ron Unger Pdf

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book

Author : H. Gutfreund,G. Toulouse
Publisher : World Scientific
Page : 880 pages
File Size : 45,9 Mb
Release : 1994
Category : Science
ISBN : 9810214057

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Biology and Computation by H. Gutfreund,G. Toulouse Pdf

This book provides a comprehensive review of the works in the rapidly evolving field of neural networks and brain studies. Its purpose is two-fold: to help physicists entering this field to get a broader view of the context of the domain, and to help scientists of other disciplines to reach a better understanding of the physicists' contributions within a context of perspectives they can relate to.Included in the volume are 68 carefully selected, high quality reprints to provide the volume with both breadth and depth. It is organized into 5 sections and 22 chapters, both the sections and chapters being preceded by introductory comments by the editors.

Author : Shawn T. O'Neil
Publisher : Unknown
Page : 0 pages
File Size : 53,9 Mb
Release : 2017-12-21
Category : Science
ISBN : 0870719262

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A Primer for Computational Biology by Shawn T. O'Neil Pdf

A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful "pipe" operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2.

Author : Phillip C. Badger
Publisher : DIANE Publishing
Page : 95 pages
File Size : 55,5 Mb
Release : 1999-09
Category : Electronic
ISBN : 9780788172717

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Computational Biology: Hearing Before the Committee on Commerce, Science, & Transportation, U.S. Senate by Phillip C. Badger Pdf

Author : Song Y. Yan
Publisher : World Scientific
Page : 424 pages
File Size : 50,5 Mb
Release : 1998
Category : Computers
ISBN : 9810234228

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An Introduction to Formal Languages and Machine Computation by Song Y. Yan Pdf

This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory of computation, which includes formal languages, automata theory, turing machines, computability, complexity, number-theoretic computation, public-key cryptography, and some new models of computation, such as quantum and biological computation. As the theory of computation is a subject based on mathematics, a thorough introduction to a number of relevant mathematical topics, including mathematical logic, set theory, graph theory, modern abstract algebra, and particularly number theory, is given in the first chapter of the book. The book can be used either as a textbook for an undergraduate course, for a first-year graduate course, or as a basic reference in the field.

Author : Haibin Duan,Pei Li
Publisher : Springer Science & Business Media
Page : 285 pages
File Size : 50,7 Mb
Release : 2014-01-02
Category : Technology & Engineering
ISBN : 9783642411960

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Bio-inspired Computation in Unmanned Aerial Vehicles by Haibin Duan,Pei Li Pdf

Bio-inspired Computation in Unmanned Aerial Vehicles focuses on the aspects of path planning, formation control, heterogeneous cooperative control and vision-based surveillance and navigation in Unmanned Aerial Vehicles (UAVs) from the perspective of bio-inspired computation. It helps readers to gain a comprehensive understanding of control-related problems in UAVs, presenting the latest advances in bio-inspired computation. By combining bio-inspired computation and UAV control problems, key questions are explored in depth, and each piece is content-rich while remaining accessible. With abundant illustrations of simulation work, this book links theory, algorithms and implementation procedures, demonstrating the simulation results with graphics that are intuitive without sacrificing academic rigor. Further, it pays due attention to both the conceptual framework and the implementation procedures. The book offers a valuable resource for scientists, researchers and graduate students in the field of Control, Aerospace Technology and Astronautics, especially those interested in artificial intelligence and Unmanned Aerial Vehicles. Professor Haibin Duan and Dr. Pei Li, both work at Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan.buaa.edu.cn

Author : Jose Manuel Ferrandez Vicente,Jose Ramon Alvarez Sanchez,Felix de la Paz Lopez,Fco. Javier Toledo Moreo
Publisher : Springer
Page : 436 pages
File Size : 45,8 Mb
Release : 2013-06-03
Category : Computers
ISBN : 9783642386374

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Natural and Artificial Models in Computation and Biology by Jose Manuel Ferrandez Vicente,Jose Ramon Alvarez Sanchez,Felix de la Paz Lopez,Fco. Javier Toledo Moreo Pdf

The two volume-set, LNCS 7930 and LNCS 7931, constitutes the refereed proceedings of the 5th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2013, held in Mallorca, Spain, in June 2013. The 92 revised full papers presented in LNCS 7930 and LNCS 7931 were carefully reviewed and selected from numerous submissions. The first part, LNCS 7930, entitled "Natural and Artificial Models in Computation and Biology”, includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 7931, entitled “Natural and Artificial Computation in Engineering and Medical Applications”, contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED “Artificial and Natural Computation for Health” (CANS) research network papers. In addition, this two volume-set reflects six interesting areas: cognitive robotics; natural computing; wetware computation; quality of life technologies; biomedical and industrial perception applications; and Web intelligence and neuroscience.

Author : Christian Calude,John Casti,Michael J. Dinneen
Publisher : Springer Science & Business Media
Page : 442 pages
File Size : 42,9 Mb
Release : 1998-02-01
Category : Computers
ISBN : 9813083697

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Unconventional Models of Computation by Christian Calude,John Casti,Michael J. Dinneen Pdf

Covering recent research into unconventional methods of computing for disciplines in computer science, mathematics, biology, physics and philosophy, the subjects include: nonconventional computational methods, DNA computation, quantum computation, and beyong Turing computability; new methods of discrete computation; theoretical and conceptual new computational paradigms; practical knowledge on new computing technologies.

Author : Dmitry A. Kondrashov
Publisher : University of Chicago Press
Page : 434 pages
File Size : 51,8 Mb
Release : 2016-08-04
Category : Science
ISBN : 9780226371931

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Quantifying Life by Dmitry A. Kondrashov Pdf

Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the past three decades, as advances in molecular biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while quantitative approaches are now providing fundamental insights into biological systems, the college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational and probabilistic mathematical approaches that dominate in biological research. With Quantifying Life, Dmitry A. Kondrashov offers an accessible introduction to the breadth of mathematical modeling used in biology today. Assuming only a foundation in high school mathematics, Quantifying Life takes an innovative computational approach to developing mathematical skills and intuition. Through lessons illustrated with copious examples, mathematical and programming exercises, literature discussion questions, and computational projects of various degrees of difficulty, students build and analyze models based on current research papers and learn to implement them in the R programming language. This interplay of mathematical ideas, systematically developed programming skills, and a broad selection of biological research topics makes Quantifying Life an invaluable guide for seasoned life scientists and the next generation of biologists alike.

Author : Hitoshi Iba,Nasimul Noman
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 49,6 Mb
Release : 2016-01-21
Category : Computers
ISBN : 9781119079781

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Evolutionary Computation in Gene Regulatory Network Research by Hitoshi Iba,Nasimul Noman Pdf

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. • Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) • Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications • Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology • Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

Author : Saverio E. Spagnolie
Publisher : Springer
Page : 440 pages
File Size : 52,9 Mb
Release : 2014-11-27
Category : Science
ISBN : 9781493920655

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Complex Fluids in Biological Systems by Saverio E. Spagnolie Pdf

This book serves as an introduction to the continuum mechanics and mathematical modeling of complex fluids in living systems. The form and function of living systems are intimately tied to the nature of surrounding fluid environments, which commonly exhibit nonlinear and history dependent responses to forces and displacements. With ever-increasing capabilities in the visualization and manipulation of biological systems, research on the fundamental phenomena, models, measurements, and analysis of complex fluids has taken a number of exciting directions. In this book, many of the world’s foremost experts explore key topics such as: Macro- and micro-rheological techniques for measuring the material properties of complex biofluids and the subtleties of data interpretation Experimental observations and rheology of complex biological materials, including mucus, cell membranes, the cytoskeleton, and blood The motility of microorganisms in complex fluids and the dynamics of active suspensions Challenges and solutions in the numerical simulation of biologically relevant complex fluid flows This volume will be accessible to advanced undergraduate and beginning graduate students in engineering, mathematics, biology, and the physical sciences, but will appeal to anyone interested in the intricate and beautiful nature of complex fluids in the context of living systems.

Author : Bernhard Haubold,Thomas Wiehe
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 41,8 Mb
Release : 2006-08-09
Category : Science
ISBN : 9783764373870

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Introduction to Computational Biology by Bernhard Haubold,Thomas Wiehe Pdf

Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.

Author : Harold L. Hawkins,Teresa A. McMullen,Richard R. Fay
Publisher : Springer Science & Business Media
Page : 528 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461240709

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Auditory Computation by Harold L. Hawkins,Teresa A. McMullen,Richard R. Fay Pdf

The auditory system presents many features of a complex computational environment, as well as providing numerous opportunities for computational analysis. This volume represents an overview of computational approaches to understanding auditory system function. The chapters share the common perspective that complex information processing must be understood at multiple levels; that disciplines such as neurobiology, psychophysics, and computer science make vital contributions; and that the end product of computational analysis should be the development of formal models.

Author : Uri Alon
Publisher : CRC Press
Page : 324 pages
File Size : 48,9 Mb
Release : 2006-07-07
Category : Mathematics
ISBN : 9781584886426

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An Introduction to Systems Biology by Uri Alon Pdf

Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.